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A proposal & foundation for implementing DeepSeek V3 in Zig to create a high-performance, web-ready LLM inference engine. This leverages Zig's unique advantages for systems programming while targeting modern deployment scenarios. A proposal & foundation for implementing DeepSeek V3 in Zig to create a high-performance, web-ready LLM inference engine. This leverages Zig's unique advantages for systems programming while targeting modern deployment scenarios.
**Status Update**: ✅ **Foundation compiles cleanly with theoretical implementation** with Zig 0.15.0-dev, including: **Status Update**: ✅ **Foundation compiles clean theoretical implementation** with Zig 0.15.0-dev, including:
HTTP server with modern Zig API HTTP server with modern Zig API
- SIMD-optimized tensor operations - SIMD-optimized tensor operations
- Cross-platform backend architecture - Cross-platform backend architecture
- Professional memory management - Initial memory management
- Comprehensive build system - Comprehensive build system draft
## Why This Matters ## Why This Matters
@ -214,6 +214,7 @@ A: Those are inference runtimes, not development frameworks / LLM frameworks. Th
## References ## References
- [DeepZig V3 (Experimental Start)](https://github.com/Triex/DeepZig-V3/tree/main/experimental)
- [DeepSeek V3 Paper](https://arxiv.org/abs/2412.19437) - Original model architecture - [DeepSeek V3 Paper](https://arxiv.org/abs/2412.19437) - Original model architecture
- [Zig Language](https://ziglang.org/) - Language documentation - [Zig Language](https://ziglang.org/) - Language documentation
- [Awesome Zig](https://github.com/C-BJ/awesome-zig) - Community resources - [Awesome Zig](https://github.com/C-BJ/awesome-zig) - Community resources
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**Status**: 🎯 Seeking feedback & idea expansion<br/> **Status**: 🎯 Seeking feedback & idea expansion<br/>
**Vision**: Foundation for advanced AI reasoning research **Vision**: Foundation for advanced AI reasoning research